000 | a | ||
---|---|---|---|
999 |
_c32184 _d32184 |
||
008 | 230904b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781529364880 | ||
082 |
_a511.8 _bTHO |
||
100 | _aThompson, Erica | ||
245 | _aEscape from model land : how mathematical models can lead us astray and what we can do about it | ||
260 |
_bBasic Books, _c2022 _aLondon : |
||
300 |
_avii, 247 p. ; _c24 cm |
||
365 |
_b899.00 _cINR _d01 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aWhether we are worried about the spread of COVID-19 or making a corporate budget, we depend on mathematical models to help us understand the world around us every day. But models aren't a mirror of reality. In fact, they are fantasies, where everything works out perfectly, every time. And relying on them too heavily can hurt us. In Escape from Model Land, statistician Erica Thompson illuminates the hidden dangers of models. She demonstrates how models reflect the biases, perspectives, and expectations of their creators. Thompson shows us why understanding the limits of models is vital to using them well. A deeper meditation on the role of mathematics, this is an essential book for helping us avoid either confusing the map with the territory or throwing away the map completely, instead pointing to more nuanced ways to Escape from Model Land. | ||
650 | _aMathematical models | ||
650 | _aSocial aspects | ||
650 | _aArtificial intelligence | ||
650 | _a Black-Scholes | ||
650 | _aButterfly Effect | ||
650 | _aClimate models | ||
650 | _a Greenhouse gas | ||
650 | _aHindcasts | ||
650 | _aMichael Fish | ||
650 | _aNassim Taleb | ||
650 | _aPandemic | ||
650 | _aSwine flu | ||
650 | _aWeather forecaste | ||
650 | _aReference class problem | ||
942 |
_2ddc _cBK |